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Automatic speaker independent dysarthric speech intelligibility assessment system

机译:自动扬声器独立的缺陷语音智能性评估系统

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摘要

Dysarthria is a condition which hampers the ability of an individual to control the muscles that play a major role in speech delivery. The loss of fine control over muscles that assist the movement of lips, vocal chords, tongue and diaphragm results in abnormal speech delivery. One can assess the severity level of dysarthria by analyzing the intelligibility of speech spoken by an individual. Continuous intelligibility assessment helps speech language patholo-gists not only study the impact of medication but also allows them to plan personalized therapy. It helps the clinicians immensely if the intelligibility assessment system is reliable, automatic, simple for (a) patients to undergo and (b) clinicians to interpret. Lack of availability of dysarthric data has resulted in development of speaker dependentautomatic intelligibility assessment systems which requires patients to speak a large number of utterances. In this paper, we propose (a) a cost minimization procedure to select an optimal (small) number of utterances that need to be spoken by the dysarthric patient, (b) four different speaker independent intelligibility assessment systems which require the patient to speak a small number of words, and (c) the assessment score is close to the perceptual score that the Speech Language Pathologist (SLP) can relate to. The need for small number of utterances to be spoken by the patient and the score being relatable to the SLP benefits both the dysarthric patient and the clinician from usability perspective.
机译:讨厌是一种妨碍个人控制在演讲交付中发挥重要作用的肌肉的能力的条件。对肌肉的微量控制丧失,有助于嘴唇,声带,舌头和隔膜运动的运动导致异常的语音交付。人们可以通过分析个人讲话的可理解性来评估讨厌的严重程度。连续可智能性评估有助于语音语言甲状腺,不仅研究药物的影响,还可以允许他们计划个性化治疗。它有助于临床医生,如果可智能性评估系统是可靠的,自动化,简单的(a)患者和(b)临床医生解释的临床医生。缺乏扰动数据的可用性导致了扬声器依赖性可懂性可智能性评估系统的开发,要求患者讲大量话语。在本文中,我们提出了(a)一种成本最小化程序,以选择缺陷患者需要使用的最佳(小)的话语,(b)四种不同的扬声器独立可智能性评估系统,该系统要求患者讲一个少量单词,(c)评估分数接近语言病理学家(SLP)可以涉及的感知分数。患者需要少量的话语,并且得分与SLP可靠的分数有益于缺陷患者和临床医生免受可用性的角度。

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